Evidence map›Paper›PMID 33021494›Full record

ArticleActa crystallographica. Section D, Structural biology2020

Local and global analysis of macromolecular atomic displacement parameters.

Rafiga C Masmaliyeva, Kave H Babai, Garib N Murshudov

Abstract read
In one paragraph

Article in Acta crystallographica. Section D, Structural biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Identifying and avoiding radiation damage in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2024
    Article
  6. Article
  7. Article
  8. Updated restraint dictionaries for carbohydrates in the pyranose form.Acta crystallographica. Section D, Structural biology · 2022
    Article
  9. Atomic model validation using the CCP-EM software suite.Acta crystallographica. Section D, Structural biology · 2022
    Article
  10. B-factor accuracy in protein crystal structures.Acta crystallographica. Section D, Structural biology · 2022
    Article
  11. Article
  12. 'International journal of molecular sciences · 2021
    Article
  13. The missing link: covalent linkages in structural models.Acta crystallographica. Section D, Structural biology · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Rafiga C MasmaliyevaInstitute of Molecular Biology and Biotechnologies ANAS, Baku, Azerbaijan.
Kave H BabaiR.I.S.K. Scientific Production Company, Baku, Azerbaijan.
Garib N MurshudovStructural Studies, MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, United Kingdom.ORCID 0000-0001-6483-3587

Funding

Medical Research Council MC_UP_A025_1012Medical Research Council MC_US_A025_0104
6 · The paper itself

Abstract

This paper describes the global and local analysis of atomic displacement parameters (ADPs) of macromolecules in X-ray crystallography. The distribution of ADPs is shown to follow the shifted inverse-gamma distribution or a mixture of these distributions. The mixture parameters are estimated using the expectation-maximization algorithm. In addition, a method for the resolution- and individual ADP-dependent local analysis of neighbouring atoms has been designed. This method facilitates the detection of mismodelled atoms, heavy-metal atoms and disordered and/or incorrectly modelled ligands. Both global and local analyses can be used to detect errors in atomic models, thus helping in the (re)building, refinement and validation of macromolecular structures. This method can also serve as an additional validation tool during PDB deposition.

Indexed as

Models, MolecularCrystallography, X-RayLigandsMacromolecular SubstancesProtein ConformationLigandsMacromolecular Substancesatomic displacement parametersBayesian statisticsinverse-gamma mixture modelrefinementToBvalidvalidation

Identifiers

PMID33021494
PMCPMC7543658

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.